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CHI 2008 Proceedings · Learning Support April 5-10, 2008 · Florence, Italy<br />

This teamwork started a bit chaotically but became more<br />

systematic as students found that loudly calling out the<br />

number <strong>of</strong> creatures did not work well since the loud noises<br />

tended to “scare” some <strong>of</strong> the creatures <strong>of</strong>f the screen. The<br />

response to loud noises was especially challenging during<br />

the tagging activities, because the creatures would run too<br />

quickly for students to track and mark. As a result, the<br />

students had a tendency to be quieter during tagging in spite<br />

<strong>of</strong> their enthusiasm for the highly interactive task.<br />

Interestingly, while the on-screen display afforded<br />

continuous access to environmental conditions, the<br />

requirement <strong>of</strong> retrieving, applying, and sharing portable<br />

instruments appeared to have a positive impact in drawing<br />

students’ attention to local environmental conditions as the<br />

basis for explanations <strong>of</strong> habitat adaptations. This was<br />

evidenced most clearly in the third grade intervention,<br />

where the treatment differences allowed a direct<br />

comparison between the use <strong>of</strong> on-screen temperature and<br />

humidity displays in one class and the use <strong>of</strong> the portable<br />

simulated thermometers and hygrometers in the other class.<br />

In contrast to the other classes using WallCology, students<br />

in the third grade class using simulated instruments<br />

regularly referenced environmental conditions in their field<br />

guide pages, and out-gained (albeit not statistically<br />

significantly) their counterparts by 11% on a pre/post<br />

transfer item probing the relationship between physical<br />

characteristics and environmental conditions.<br />

An unexpected reaction was the willingness <strong>of</strong> students to<br />

suspend their disbelief that WallCology was a simulation in<br />

spite <strong>of</strong> our explicit assertions to the contrary. In one<br />

instance, students were overheard asking construction<br />

workers in a nearby room, who were working on walls and<br />

ceilings, if they “had seen any little bugs running around on<br />

the pipes.” Another student asked, “If they break the wall,<br />

would the bugs come out?” In support <strong>of</strong> their commitment<br />

to the reality <strong>of</strong> the phenomena, students even invented<br />

their own explanations as to why the creatures looked “a<br />

little cartoony,” “because they are so small and that's what<br />

happens when you magnify them.”<br />

Granularity <strong>of</strong> observational loci. The introduction <strong>of</strong><br />

mobile portals proved highly popular among the third grade<br />

students, with groups repositioning the portals, on average,<br />

4.1 times per class period over the course <strong>of</strong> the unit. While<br />

the mobile portals raised interest in the activity, the<br />

variability in creature populations at different sites along a<br />

wall tended to complicate the task <strong>of</strong> determining creature<br />

counts and interfered with the instructional objective <strong>of</strong><br />

tracking populations over time; in all likelihood, this was<br />

simply too much freedom to afford such young learners.<br />

However, the use <strong>of</strong> the mobile portals did result in several<br />

groups redefining the activity to include the “mapping” <strong>of</strong><br />

the distribution <strong>of</strong> creature types along a wall. While<br />

population variability along a wall was an unintentional<br />

artifact <strong>of</strong> the probabilistic simulation unrelated to the<br />

instructional goal, the interaction affordance allowed<br />

students to invent new research questions and develop<br />

170<br />

operational strategies for achieving those goals, an<br />

important component <strong>of</strong> authentic inquiry [6].<br />

Learning. Among the seventh grade students, the attempt to<br />

orient students to issues beyond morphology in<br />

differentiating species proved only partially successful.<br />

While students were more strongly oriented toward<br />

physical characteristics in class discussions (“when I get to<br />

behavior I get kind <strong>of</strong> confused, I lose my confidence”),<br />

their field guides and interviews reflected fairly rich<br />

descriptions <strong>of</strong> behavior, including reactions to noise and<br />

speed <strong>of</strong> travel, albeit sometimes attributing relationships<br />

that were not programmed into the simulation (“The [slug]<br />

is scared <strong>of</strong> the turtle-like thing and that’s’ [why] we think<br />

it never comes out [<strong>of</strong>] the pipes”). Overall, though,<br />

students did not show improvement on pre-post items<br />

related to the use <strong>of</strong> behavior as a cue to species<br />

identification.<br />

The more concrete goal <strong>of</strong> learning population estimation<br />

techniques proved reasonably successful. On an open-ended<br />

item administered before and after the unit, students were<br />

asked to describe two methods <strong>of</strong> estimating populations<br />

from samples. Reponses were coded on a 10-point scale,<br />

assigning credit for factors including the recognition <strong>of</strong> the<br />

inability to access or manipulate the full population, the<br />

need for multiple observations over space and/or time,<br />

description <strong>of</strong> qualitative algorithmic method, and<br />

articulation <strong>of</strong> quantitative formulae. Mean scores on the<br />

item increase from 4.6/10 (pre-test) to 7.6/10 (post-test),<br />

t(21) = 6.15, p < .001. Post-activity interviews with<br />

students, however, indicated that while students found the<br />

tag-recapture method to have intuitive appeal, and in<br />

several cases could describe and apply the Lincoln-Peterson<br />

formula, none were able to give a strong characterization <strong>of</strong><br />

its conceptual motivation.<br />

In the third grade unit transfer tests, students show pre-post<br />

gains in associating some morphological features with<br />

habitat characteristics (e.g., the association <strong>of</strong> body fur with<br />

colder habitats, pre-test M=.34, post-test M=.56, χ 2 (1) =<br />

4.6, p < .05), but failed to show improvement on more<br />

subtle morphological characteristics. Student ability to<br />

properly sequence insect life cycle stages improved (pre-test<br />

M=.51, post-test M=.82, (χ 2 (1) = 7.9, p < .01), but no gain<br />

was seen on mammalian life cycles (likely due to a ceiling<br />

effect). While students nearly universally correctly identified<br />

the food chain in their field guides, there was no<br />

improvement in their ability to predict the impact <strong>of</strong><br />

perturbations in predator or prey populations among<br />

hypothetical populations.<br />

Stances toward science inquiry. Seventh grade students<br />

were administered affective items drawn from the TOSRA<br />

(Test <strong>of</strong> Science Related Attitudes) instrument [12] to<br />

assess attitudes toward science inquiry. On that test (scaled<br />

Strongly Disagree = -2 through Strongly Agree = +2),<br />

students’ recognition <strong>of</strong> the need for multiple samples to<br />

increase reliability was evidenced through their responses

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